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Research Computing Jobs in Charlottesville, VA (NOW HIRING)

teKnoluxion

HPC Systems Engineer

Charlottesville, VA

$150K - $200K/yr

... research computing, or distributed compute environments, including configuration and troubleshooting of multi-node systems. Required Skills: * Experience supporting distributed compute environments ...

teKnoluxion

HPC Systems Engineer

Charlottesville, VA · On-site

$150K - $200K/yr

... research computing, or distributed compute environments, including configuration and troubleshooting of multi-node systems. Required Skills: * Experience supporting distributed compute environments ...

teKnoluxion

HPC Systems Engineer

Charlottesville, VA

$150K - $200K/yr

... research computing, or distributed compute environments, including configuration and troubleshooting of multi-node systems. Required Skills: * Experience supporting distributed compute environments ...

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How much do research computing jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for research computing in Charlottesville, VA is $22.05, according to ZipRecruiter salary data. Most workers in this role earn between $17.16 and $23.61 per hour, depending on experience, location, and employer.

What is research computing?

A Research Computing job involves supporting computational and data-intensive research by providing expertise in high-performance computing (HPC), data management, software development, and cloud technologies. Professionals in this field work closely with researchers to optimize code, manage large datasets, and ensure efficient use of computing resources. They may also develop and maintain computing infrastructure, troubleshoot technical issues, and assist with grant proposals requiring specialized computing capabilities.

What does someone working in research computing do?

In a Research Computing role, you will often support researchers by managing and optimizing access to high-performance computing resources, troubleshooting technical issues, and assisting with the setup of specialized software or tools. You may also help develop computational workflows, maintain data storage systems, and guide users on best practices for maximizing resource efficiency. Collaboration with scientists, faculty, and IT staff is common, as you play a key role in enabling advanced research projects. This hands-on, problem-solving environment provides opportunities to learn new technologies and contribute directly to impactful scientific work.

What are the key skills and qualifications needed to thrive in research computing?

To excel in Research Computing, a strong background in computer science, data analysis, and scientific research methodologies is essential, often supported by an advanced degree in a STEM field. Familiarity with high-performance computing (HPC) systems, cluster management tools, programming languages (such as Python, R, or C++), and certifications in cloud platforms or data science are commonly required. Effective problem-solving, collaboration, and communication skills help professionals work closely with researchers and interdisciplinary teams. These skills and qualities are crucial for supporting complex computational research, ensuring efficient system use, and driving innovation in scientific discovery.

What job categories do people searching Research Computing jobs in Charlottesville, VA look for?

The top searched job categories for Research Computing jobs in Charlottesville, VA are:

Research Computing jobs near you
Infographic showing various Research Computing job openings in Charlottesville, VA as of August 2026, with employment types broken down into 83% Full Time, and 17% Part Time. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $45,855 per year, or $22 per hour.

Research Scientist

University of Virginia

Charlottesville, VA • On-site

Full-time

Re-posted 5 hours ago

University Of Virginia rating

7.9

Company rating: 7.9 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

210th of 622 rated colleges and universities

Job description

Department Overview
The University of Virginia's Research Computing (RC) team, part of UVA Information Technology Services (ITS), supports cutting-edge research across the institution by providing advanced computational resources and expertise. Within RC, the Data Analytics Center (DAC) enables interdisciplinary collaboration by helping researchers apply modern data science and AI techniques to complex problems.
UVA ITS does more than support the UVA community - we empower and move it forward. With every partnership and every solution, we are shaping a culture and ecosystem where learning and discovery thrive.
Position Summary
The University of Virginia is seeking a Research Scientist with expertise in Large Language Models (LLMs) to join the Data Analytics Center (DAC) within Research Computing. This role will partner directly with researchers across disciplines to apply LLMs and AI techniques to diverse datasets, enabling innovative research outcomes.
As a key member of the Research Computing team, you will contribute technical expertise in deep learning and LLMs, support high-impact research initiatives, and help advance UVA's leadership in data-driven discovery.
Responsibilities
  • Collaborate with researchers to understand datasets and analytical requirements
  • Perform data preprocessing and analysis to identify appropriate deep learning and LLM approaches
  • Select, fine-tune, and apply LLMs and AI models to complex research problems
  • Optimize LLM performance on HPC systems, including parallel implementations
  • Manage AI-based research projects to ensure timely delivery and scientific rigor
  • Prepare technical reports, presentations, and research outputs
  • Develop and deliver training sessions and workshops on LLMs for the UVA community
  • Partner with the DAC team to share programming techniques and best practices
Minimum Qualifications
Education:
Advanced degree (Master's or higher)
Experience:
At least 2 years of relevant work experience
Skills:
  • Proficiency in Python programming
  • Demonstrated expertise in AI systems and machine learning algorithms
  • Strong analytical and problem-solving abilities
  • Excellent written and verbal communication skills
  • Ability to collaborate with researchers across diverse disciplines
  • Strong relationship-building skills with technical and non-technical stakeholders

Additional Requirement:
  • U.S. citizenship or permanent residency required due to access to high-security data environments
Preferred Qualifications
Education:
  • PhD in Computer Science, Electrical Engineering, Data Science, or related field

Experience:
  • 3+ years of academic or applied research experience

Technical Skills:
  • Deep understanding of transformer architectures (attention, tokenization, embeddings, positional encoding, scaling)
  • Experience with fine-tuning techniques (supervised fine-tuning, instruction tuning, RLHF, domain adaptation)
  • Proficiency with AI frameworks such as PyTorch, TensorFlow, and Hugging Face
  • Experience with LLM evaluation and benchmarking methodologies
  • Familiarity with generative or probabilistic modeling

Additional Knowledge:
  • Understanding of LLM risks such as hallucinations and bias, and responsible AI practices
Physical Demands
This is primarily a sedentary role. The position may require the ability to sit for extended periods and use a computer for prolonged durations.
Position Type & Work Location
  • Full-time
  • Located in Charlottesville, VA
  • Flexible work arrangements may be available

This position has committed funding through June 2028; continuation is dependent on the availability of funding.
About UVA and the Community
The University of Virginia is a highly regarded public institution known for its commitment to academic excellence, innovation, and service. Located in Charlottesville, UVA offers a vibrant community with a high quality of life, combining rich history with a dynamic and forward-looking environment.
UVA fosters a collaborative culture that values diversity, equity, and inclusion, and is dedicated to supporting employees' professional growth and work-life balance.
Application Timeline
Review of applications will begin after the position has been posted for a minimum of five days.
Additional Requirements
  • Background check required
  • This position will not sponsor applicants requiring a visa

How to Apply
Please apply online through Online and search for R0081788 . Complete the application and upload the following required materials:
Internal applicants may search and apply for jobs on the UVA Internal Careers website .
  • Cover letter
  • Resume
Reference Check Process
Reference checks will be conducted via UVA's standard SkillSurvey process, requiring a minimum of three completed references.
Contact
For questions about this position, please contact:
Bill Crane
Senior Talent Acquisition Recruiter
University of Virginia
Xer5ff@virginia.edu
MINIMUM REQUIREMENTS:
Education: Bachelor's Degree required.
Experience: 3+ years relevant experience required.
Licensure: None.
PHYSICAL DEMANDS:
This is primarily a sedentary job involving extensive use of desktop computers. The job does occasionally require traveling some distance to attend meetings, and programs.
The University of Virginia is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and individuals with disabilities. Learn more about UVA's commitment to non-discrimination and equal opportunity employment .

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About University of Virginia

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The University of Virginia is distinctive among institutions of higher education. Founded by Thomas Jefferson in 1819, the University sustains the ideal of developing, through education, leaders who are well-prepared to shape the future of the nation.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Charlottesville, VA, US

Year founded

1819

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